Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.
You've got two main options:
################################## | |
# Data functions | |
################################## | |
import re | |
from datasets import load_dataset | |
def clean(text): | |
text = text.replace("\n", " ").strip() |
package main | |
import ( | |
"fmt" | |
"github.com/codegangsta/negroni" | |
"github.com/gorilla/mux" | |
"log" | |
"net/http" | |
) |
aws s3 sync s3://oldbucket s3://newbucket --source-region us-west-1 --region us-west-2 |
aws s3 sync s3://oldbucket s3://newbucket --source-region us-west-1 --region us-west-2 |
Bolukbasi et al. "Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings"
http://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-debiasing-word-embeddings.pdf
Bolukbasi et al. "Quantifying and Reducing Stereotypes in Word Embeddings" https://arxiv.org/pdf/1606.06121.pdf
Brunet et al. "Understanding the Origins of Bias in Word Embeddings" https://arxiv.org/pdf/1810.03611v1.pdf
Costa-jussá and Font "Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques"
Concurrency is a domain I have wanted to explore for a long time because the locks and the race conditions have always intimidated me. I recall somebody suggesting concurrency patterns in golang because they said "you share the data and not the variables".
Amused by that, I searched for "concurrency in golang" and bumped into this awesome slide by Rob Pike: https://talks.golang.org/2012/waza.slide#1 which does a great job of explaining channels, concurrency patterns and a mini-architecture of load-balancer (also explains the above one-liner).
Let's dig in: